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R Integration
R is a programming language for statistical computing and graphics currently supported by the R Foundation for Statistical Computing. R functionality is provided via open-source user-created packages, which allow for specialized statistical calculations and modeling techniques, graphical devices, data import/export capabilities, reporting tools, and more.
Case Study
Using R with Zema Global
See how can Zema Global help
The combination of Zema Global and R capabilities can reduce users’ reliance on other intermediary analytics solutions, such as Matlab, SAS, SPSS, and Stata for risk calculations.
Zema Global becomes a one-stop risk management solution.
The combination of Zema Global and R capabilities can reduce users’ reliance on other intermediary analytics solutions
Ability to explore various statistical applications.
Access to the most current and needed statistical and econometric functionality.
Zema Global performance not affected by complex calculations.
Zema Global performance is not impacted by the complexity of calculations associated with Inline R.
R Use Cases
R-integration to Zema Global’s analytics advances risk management capacity to better service clients complex requirements
R is applied in a wide variety of fields for which packages are available, including but not limited to:
Finance Modeling
Machine Learning
Credit Risk Modelling
Economic Forecasting
High Performance Computing
Time-Series Analysis
Real-Time Market Data Analysis
Some of the common uses cases of complex risk management solutions are the following:
Cyclical and recursive calculations
Multi-variable regressions
Econometric forecast models
Resource optimization
Monte-Carlo simulation
What People Say About Us
"IIR’s strength in asset supply intelligence, connected with Zema Global’s robust platforms and other key trading data, allows the user to get the most accurate view of the market for past, current and future energy fundamentals, and thus make better more profitable trading decisions."

"Our driver for bringing in Zema Global was to replace our incumbent system. We evaluated several data management vendors to ensure that Energy New England (ENE) was implementing the solution that best balanced functionality, cost-effectiveness, and professional support. ENE manages over 700 MW of load, 500 MW of generation and $300 million in structured transactions annually. Not only has Zema Global helped ENE streamline a number of our work and reporting processes for our clients, we also have a versatile tool that will grow with our evolving needs and are working with a vendor that we can trust."

"With Zema Global, we achieved our ambitious targets to improve business operations by offering a solution which is integrating various data types in a centralized platform with value adding analysis capabilities. Our data is now more accessible, to both users and downstream applications."

"We replaced our data management system with Zema Global facilitating risk monitoring through improved data management, better integration, and forward curve building capabilities. We are pleased to be working with Zema Global."


Let's talk about your R solution
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